| Medical image analysis: computer-aided diagnosis of gastric cancer invasion on endoscopic images. | |
| | |
MedLine Citation:
|
PMID: 22083334 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
BACKGROUND: The aim of this study was to investigate the efficacy of diagnosing depth of wall invasion of gastric cancer on endoscopic images using computer-aided pattern recognition. METHODS: The back propagation algorithm was used for computer training. Data of 344 patients who underwent gastrectomy or endoscopic tumor resection between 2001 and 2010 and their 902 endoscopic images were collected. The images were divided into ten groups among which the number of patients and images were almost equally distributed according to T staging. The computer learning was performed using about 800 images from all but one group, and the accuracy rate of diagnosing the depth of wall invasion of gastric cancer was calculated using the remaining group of about 90 images. The various numbers of input layers, hidden layers, and learning counts were updated, and the ideal setting was decided. Similar learning and diagnostic procedures were repeated ten times using every group and all 902 images were tested. The accuracy rate was calculated based on the ideal setting. RESULTS: The most appropriate setting was a resolution of 16 × 16, a hidden layer of 240, and a learning count of 50. In the next step, using all the images on the ideal setting, the overall accuracy rate was 64.7%. The diagnostic accuracy was 77.2, 49.1, 51.0, and 55.3% in the T1, T2, T3, and T4 stagings, respectively. The accuracy was 68.9% in T1a(M) staging and 63.6% in T1b(SM) staging. The positive predictive values were 80.1, 41.6, 51.4, and 55.8% in the T1, T2, T3, and T4 staging, respectively. It was 69.2% in T1a(M) staging and 68.3% in T1b(SM) staging. CONCLUSION: Computer-aided diagnosis is useful for diagnosing depth of wall invasion of gastric cancer on endoscopic images. |
| | |
Authors:
|
Keisuke Kubota; Junko Kuroda; Masashi Yoshida; Keiichiro Ohta; Masaki Kitajima |
Related Documents
:
|
21674384 - Zerog: overground gait and balance training system. 22255744 - Detection of unstained living neurospheres from phase contrast images with very large i... 21730654 - A dual-colored bio-marker made of doped zno nanocrystals. 21724514 - Multiple exposure fusion for high dynamic range image acquisition. 12756364 - Computational modeling of arterial biomechanics: insights into pathogenesis and treatme... 8855394 - Characterisation of the possible effect on birthweight following frequent prenatal ultr... |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2011-11-15 |
Journal Detail:
|
Title: Surgical endoscopy Volume: - ISSN: 1432-2218 ISO Abbreviation: - Publication Date: 2011 Nov |
Date Detail:
|
Created Date: 2011-11-15 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 8806653 Medline TA: Surg Endosc Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
|
Department of Gastroenterological Surgery, International University of Health and Welfare Mita Hospital, Mita 1-4-3, Minato-ku, Tokyo, 108-8329, Japan, kubota@iuhw.ac.jp. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Trainees' adenoma detection rate is higher if ?10 minutes is spent on withdrawal during colonoscopy.
Next Document: A review of the role of GERD-induced aspiration after lung transplantation.